A Colombian AI startup wants to assist half of Latin America’s doctors. Andreessen Horowitz just backed it.


TL;DR

Telepatia raised $33M from a16z to reach half of Latin America’s 1.9M doctors by 2027. It already serves 14M patients across five countries.

Telepatia, an AI clinical assistant built for Latin American healthcare, has raised $33 million in a Series A led by Andreessen Horowitz. The company wants to reach half of the region’s 1.9 million doctors by the end of 2027. Total funding is now $42 million, with early backers including Palantir CTO Shyam Sankar, Rappi founder Simon Borrero, and Nubank founder David Velez.

The product transcribes consultations in real time, reviews medical records, flags potential errors, and makes live suggestions based on medical literature and clinical guidelines. CEO Nicolas Abad calls it “a second brain for the doctor.” At Hospital Mater Dei in Brazil, physicians use the tool an average of eight hours a day and recover 1.7 hours daily, according to company data.

The origin story is personal. Abad’s father, a physician, died in late 2022 at age 58 after a preventable drug interaction. He had spent years reading medical papers about his own illness, but an interaction between a hiccup treatment and a sleep medication proved fatal. “This is the product that would have saved my father as a patient, and that he would have loved as a doctor,” Abad said.

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Latin America is a natural market. Brazil and Colombia each have roughly 2.4 to 2.5 doctors per 1,000 people, a third fewer than the OECD average. Colombia has just 1.5 nurses per 1,000, compared to the OECD’s 9.5. Doctors and nurses spend 40% to 70% of their time on documentation and administrative tasks rather than direct patient care. Telepatia is betting AI can stretch that workforce by handling the paperwork.

In less than a year, the startup says it has reached more than 14 million patients through 25+ public and private health institutions in Brazil, Colombia, Mexico, Chile, and Argentina. Clients include publicly traded Brazilian hospital groups Mater Dei, Kora Saude, and Hapvida, as well as public health networks in Bogota, Medellin, and Barranquilla.

We just clearly saw them as the winner,” said Daisy Wolf, a partner at Andreessen Horowitz. “We believe healthcare is going to be the industry most transformed by AI.” For a16z, which has backed US ambient documentation startups Abridge AI and Ambience Healthcare, Telepatia is one of its largest AI healthcare investments outside the US.

Regulation is still forming. Brazil’s Senate has approved an AI bill creating a risk-based framework, pending lower house and presidential approval. Colombia has sent its own AI bill to Congress. Telepatia positions itself carefully: it supports clinicians rather than making decisions, with the doctor always making the final call. The company plans to deepen Latin American operations before expanding to India, Africa, and Southeast Asia, where the same physician shortage and documentation burden exist at even larger scale.



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Recent Reviews


YouTube has an AI slop problem, and its crackdown is catching legitimate creators in the crossfire. Faceless channels, where no human host ever appears on screen, have existed for years and are not inherently AI-generated.

Many are run by solo creators who simply prefer to stay anonymous. The problem is that AI tools made it easy to flood the platform with low-effort faceless content at scale, and YouTube’s algorithm is now penalizing the format as a whole.

How bad is the AI slop problem on YouTube?

A Kapwing study found that roughly 21% of the first 500 videos recommended to a new YouTube account were classified as AI slop, while 33% fell into a broader brainrot category. The problem extends to children, too, as more than 40% of YouTube Shorts recommended to kids in a 15-minute session contained low-quality AI content.

YouTube’s response has been to tweak its algorithm to favor videos with real human faces on camera, which is hitting faceless creators even when their content is entirely human-made.

How is YouTube tackling its AI slop problem?

YouTube is now testing a new pop-up on mobile that asks viewers to rate whether a video feels like AI slop, on a scale from “not at all” to “extremely.” The idea sounds reasonable, but crowdsourcing AI detection has real problems. People are bad at spotting AI content, and they are getting worse at it as AI capabilities continue to improve.

There are also legitimate concerns that YouTube could use this viewer feedback as training data for its own AI models, potentially making future AI-generated content even harder to spot.

🚨 Did you just see what YouTube did?

YouTube isn’t banning AI slop.. They’re making you label it so they can train their next model to not look like slop.

Read that again…

You flag the bad AI content. YouTube collects it. Google feeds it into Veo 4… Then next year their… https://t.co/8UC2J3mjjv pic.twitter.com/mIrTChqC1b

— Tuki (@TukiFromKL) March 17, 2026

Meanwhile, faceless creators are scrambling to adapt. According to The Hollywood Reporter, some are hiring cheap on-camera hosts through platforms like Fiverr and Upwork. Others are doubling down on niche educational content, which has held up better than broad content farms.

The AI text-to-video space is still valued at enormous sums, with Higgsfield AI alone sitting at $1 billion, but on YouTube, the math for faceless creators is getting harder to work out every month.



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